Achievements of the On-Going JST - JICA "Wildfires and Carbon Management in Peat Forest in Indonesia: Fire Detection and Fire Prediction System Component"Project
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Achievements of the On-Going JST - JICA "Wildfires and Carbon Management in Peat Forest in Indonesia: Fire Detection and Fire Prediction System Component"Project






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Achievements of the On-Going JST - JICA "Wildfires and Carbon Management in Peat Forest in Indonesia: Fire Detection and Fire Prediction System Component"Project Presentation Transcript

  • 1. Achievements of the on­going JST­JICA Achievements of the on­going JST­ “Wildfires and Carbon Management in Peat Forest in Indonesia: Fire Detection  and Fire Prediction System  Component” Project Orbita Roswintiarti Indonesian National Institute of Aeronautics and Space (LAPAN) Presented at “ASEAN Technical Workshop on Development of the ASEAN Peatland Fire Prediction ans Early Warning System” Kuala Lumpur, Malaysia, 20­21 March 2012 Kuala Lumpur, Malaysia, 20­
  • 2. Outline• Introduction on JST­JICA “Wildfires and  Carbon Management in Peat Forest in  Indonesia: Fire Detection and Fire  Prediction System” Project• Fire Detection and Fire Prediction  System (FF) Component• Accomplishments form FF Component p p• Future plan
  • 3. Wildfires and Carbon Management in  Peat Forest in Indonesia• Executing agencies: • Indonesia: National Standardization Agency of  Indonesia (BSN) • Japan JICA is responsible for the implementation of Japan: JICA is responsible for the implementation of  the Project in‐closed cooperation with JST.• Implementation agencies: 1. Hokkaido University Hokkaido University  2. University of Palangka Raya (UNPAR) 3. Indonesian Institute of Sciences (LIPI) 4. Indonesian National Institute of Aeronautics and  Space (LAPAN) Space (LAPAN) 5. Forest Research Development Agency, Ministry of  Forestry (FORDA) 6. Ministry of Research and Technology• Project sites: Block C and Forest Research Development Agency,  Ministry of Forestry’s site of Block B of Ex‐Mega  Rice Project site in Central Kalimantan Rice Project site in Central Kalimantan
  • 4. Wildfires and Carbon Management in  Peat Forest in Indonesia• Activities: 1. Fire Detection and Fire Prediction System  Component (FF: Fire Detection and Fire  Prediction) 2. Carbon Assessment Component (CA: Carbon Assessment) 3. Carbon Management Component (CM: Carbon Management) 4. Integrated Peat Management Component (PM: Peat  4 I dP M C (PM P Management)
  • 5. Structure of FF Component Kazuya Kaku FF-1 : Wild/Peat Fire Control System Atsushi Ono Orbita Roswintiarti Aswin Usup Koji Nakau Masami Tokuno FF-1-1 Fire Detection Keiji Kushida Fajar Yulianto Toshihisa Honma Toshihisa HonmaFF: Fire Detection and Fire Prediction System Agus Hidayat FF-1-2 Wildfire Local Validation Koji Nakau Ratih D. Dimyati Aswin Usup FF-1-3 Met. Modeling and Keiji Kimura Hendrik Segah Fire Simulation Orbita Roswintiarti Atsushi Ono General Coordination Orbita Roswintiarti Wataru Takeuchi Aswin Usup FF-1-4 Peat Moisture Estimation Parwati Sofan Nakau Koji FF-1-5 Fire Information via SMS Hendrik Segah Hendrik Segah FF-2 : Mapping and Modeling Land Cover Kustiyo Keiji Kimura FF-2-1 Land Coverage Map Agus Kristiyono Kustiyo, Bambang Trisakti Hiroshi Tani FF-2-2 Spectrum Library (plant/soil) Hendrik Segah FF-2-3 Carbon Budget Estimation Wataru Takeuchi Yenni Vetrita
  • 6. Outputs of FF Component
  • 7. Fire hotspot algorithm
  • 8. Fire hotspot algorithm (cont.) Fire hotspot algorithm (cont.)MOD14 algorithm Refined algorithm Background image: ASTER false color R: 2.24m G:1.65 m B: 0.66 m  Refined hotspot algorithm developed by by Dr. K. Nakau et  al. (2008). Double S/N ratio (as compared with MOD14): Double S/N ratio (as compared with MOD14): • 80% more HS and 10% less false alarm • Smoldering, small fire, or slash and burn • Geographic distribution is completely different h d b l l d ff • Suitable to decide firefighting strategy and confirm extinction
  • 9. Fire hotspot validationTo verify the hotspot data obtained by satellites, aerial photographs were taken by the electrically‐powered unmanned aerial vehicle (UAV) equipped with optical  ( ) q pp pcamera and infrared camera. Example of thermography images of flight observation l f h h f fl h b
  • 10. JST­JICA FF Component WebsiteJST­
  • 11. FF1­1 MODIS Hotspot DatabaseFF1­
  • 12. FF1­1 MODIS Hotspot Database (cont.)FF1­
  • 13. FF1­1 MODIS Hotspot Database (cont.)FF1­
  • 14. Ground Water TableFramework of Ground Water Table (GWT) mapping using drought index 
  • 15. FF1­4 Ground Water Table Database (cont.)FF1­
  • 16. FF­2­1 Land Cover Map FF­20082009
  • 17. FF­2­1 Land Cover Map (Cont.) FF­ 1 Land Cover Map (Cont.) Forest area  Year Forest area (ha) compared with  Forest change ( Forest change (ha)  area  (%) area  (%) 2000 9,007,164 58 ­ 2001 9,047,939 59 40,775 2002 8,971,911 58 ­76,028 76,028 2003 8,801,951 57 ­169,960 2004 8,683,361 56 ­118,590 2005 8,625,535 8 625 535 56 ­57,826 57 826 2006 8,578,507 56 ­47,028 2007 8,425,437 55 ­153,070 2008 8,390,578 54 ­34,859 2009 8,573,513 56 182,935Note:  Area of Central Kalimantan was 15,399,228 h i 2008 (SN A fC l K li 15 399 228 ha in 2008 (Source: Bakosurtanal) H B k l) Ha
  • 18. 16­day NDVI (250meter resolution )16­
  • 19. FF­2­2 Spectrum Library FF­ Data collection activities Data collection activitiesSpectral reflectances from 10 dominant Spectral reflectances from 10 dominant tree species in peat forest
  • 20. Future Plan
  • 21. Thank you